Large Language models are pre-trained by creators on the huge data.
In many cases you do not need to do anything with LLM and you can just use it.
If they were not trained on the data that contains information that you are interested then you can use technique called RAG (Retrieval-Augmented Generation).
You also can do fine-tuning which is kind of training but on small amount of data.
In many cases you do not need to do anything with LLM and you can just use it.
If they were not trained on the data that contains information that you are interested then you can use technique called RAG (Retrieval-Augmented Generation).
You also can do fine-tuning which is kind of training but on small amount of data.